Share

Information Granularity, Big Data, and Computational Intelligence

2014-07-14 Technology & Engineering
Download Information Granularity, Big Data, and Computational Intelligence PDF Online Free

Author :
Release : 2014-07-14
Genre : Technology & Engineering
Kind : eBook
Book Rating : 54X/5 ( reviews)

GET EBOOK


Book Synopsis Information Granularity, Big Data, and Computational Intelligence by : Witold Pedrycz

Download or read book Information Granularity, Big Data, and Computational Intelligence written by Witold Pedrycz. This book was released on 2014-07-14. Available in PDF, EPUB and Kindle. Book excerpt: The recent pursuits emerging in the realm of big data processing, interpretation, collection and organization have emerged in numerous sectors including business, industry and government organizations. Data sets such as customer transactions for a mega-retailer, weather monitoring, intelligence gathering, quickly outpace the capacities of traditional techniques and tools of data analysis. The 3V (volume, variability and velocity) challenges led to the emergence of new techniques and tools in data visualization, acquisition, and serialization. Soft Computing being regarded as a plethora of technologies of fuzzy sets (or Granular Computing), neurocomputing and evolutionary optimization brings forward a number of unique features that might be instrumental to the development of concepts and algorithms to deal with big data. This carefully edited volume provides the reader with an updated, in-depth material on the emerging principles, conceptual underpinnings, algorithms and practice of Computational Intelligence in the realization of concepts and implementation of big data architectures, analysis, and interpretation as well as data analytics. The book is aimed at a broad audience of researchers and practitioners including those active in various disciplines in which big data, their analysis and optimization are of genuine relevance. One focal point is the systematic exposure of the concepts, design methodology, and detailed algorithms. In general, the volume adheres to the top-down strategy starting with the concepts and motivation and then proceeding with the detailed design that materializes in specific algorithms and representative applications. The material is self-contained and provides the reader with all necessary prerequisites and augments some parts with a step-by-step explanation of more advanced concepts supported by a significant amount of illustrative numeric material and some application scenarios to motivate the reader and make some abstract concepts more tangible.

Granular Computing Based Machine Learning

2017-11-04 Technology & Engineering
Download Granular Computing Based Machine Learning PDF Online Free

Author :
Release : 2017-11-04
Genre : Technology & Engineering
Kind : eBook
Book Rating : 588/5 ( reviews)

GET EBOOK


Book Synopsis Granular Computing Based Machine Learning by : Han Liu

Download or read book Granular Computing Based Machine Learning written by Han Liu. This book was released on 2017-11-04. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the significant role of granular computing in advancing machine learning towards in-depth processing of big data. It begins by introducing the main characteristics of big data, i.e., the five Vs—Volume, Velocity, Variety, Veracity and Variability. The book explores granular computing as a response to the fact that learning tasks have become increasingly more complex due to the vast and rapid increase in the size of data, and that traditional machine learning has proven too shallow to adequately deal with big data. Some popular types of traditional machine learning are presented in terms of their key features and limitations in the context of big data. Further, the book discusses why granular-computing-based machine learning is called for, and demonstrates how granular computing concepts can be used in different ways to advance machine learning for big data processing. Several case studies involving big data are presented by using biomedical data and sentiment data, in order to show the advances in big data processing through the shift from traditional machine learning to granular-computing-based machine learning. Finally, the book stresses the theoretical significance, practical importance, methodological impact and philosophical aspects of granular-computing-based machine learning, and suggests several further directions for advancing machine learning to fit the needs of modern industries. This book is aimed at PhD students, postdoctoral researchers and academics who are actively involved in fundamental research on machine learning or applied research on data mining and knowledge discovery, sentiment analysis, pattern recognition, image processing, computer vision and big data analytics. It will also benefit a broader audience of researchers and practitioners who are actively engaged in the research and development of intelligent systems.

Data Science and Big Data: An Environment of Computational Intelligence

2017-03-21 Technology & Engineering
Download Data Science and Big Data: An Environment of Computational Intelligence PDF Online Free

Author :
Release : 2017-03-21
Genre : Technology & Engineering
Kind : eBook
Book Rating : 742/5 ( reviews)

GET EBOOK


Book Synopsis Data Science and Big Data: An Environment of Computational Intelligence by : Witold Pedrycz

Download or read book Data Science and Big Data: An Environment of Computational Intelligence written by Witold Pedrycz. This book was released on 2017-03-21. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike. The area itself has opened up promising new directions of fundamental and applied research and has led to interesting applications, especially those addressing the immediate need to deal with large repositories of data and building tangible, user-centric models of relationships in data. Data is the lifeblood of today’s knowledge-driven economy.Numerous data science models are oriented towards end users and along with the regular requirements for accuracy (which are present in any modeling), come the requirements for ability to process huge and varying data sets as well as robustness, interpretability, and simplicity (transparency). Computational intelligence with its underlying methodologies and tools helps address data analytics needs.The book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based systems.

Big Data and Computational Intelligence in Networking

2017-12-14 Computers
Download Big Data and Computational Intelligence in Networking PDF Online Free

Author :
Release : 2017-12-14
Genre : Computers
Kind : eBook
Book Rating : 879/5 ( reviews)

GET EBOOK


Book Synopsis Big Data and Computational Intelligence in Networking by : Yulei Wu

Download or read book Big Data and Computational Intelligence in Networking written by Yulei Wu. This book was released on 2017-12-14. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state-of-the-art solutions to the theoretical and practical challenges stemming from the leverage of big data and its computational intelligence in supporting smart network operation, management, and optimization. In particular, the technical focus covers the comprehensive understanding of network big data, efficient collection and management of network big data, distributed and scalable online analytics for network big data, and emerging applications of network big data for computational intelligence.

Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications

2023-10-20 Computers
Download Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications PDF Online Free

Author :
Release : 2023-10-20
Genre : Computers
Kind : eBook
Book Rating : 257/5 ( reviews)

GET EBOOK


Book Synopsis Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications by : Gilberto Rivera

Download or read book Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications written by Gilberto Rivera. This book was released on 2023-10-20. Available in PDF, EPUB and Kindle. Book excerpt: In the age of transformative artificial intelligence (AI), which has the potential to revolutionize our lives, this book provides a comprehensive exploration of successful research and applications in AI and data analytics. Covering innovative approaches, advanced algorithms, and data analysis methodologies, this book addresses complex problems across topics such as machine learning, pattern recognition, data mining, optimization, and predictive modeling. With clear explanations, practical examples, and cutting-edge research, this book seeks to expand the understanding of a wide readership, including students, researchers, practitioners, and technology enthusiasts eager to explore these exciting fields. Featuring real-world applications in education, health care, climate modeling, cybersecurity, smart transportation, conversational systems, and material analysis, among others, this book highlights how these technologies can drive innovation and generate competitive advantages.

You may also like...